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File: | include/crocoddyl/core/actuation-base.hpp |
Date: | 2025-01-16 08:47:40 |
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1 | /////////////////////////////////////////////////////////////////////////////// | ||
2 | // BSD 3-Clause License | ||
3 | // | ||
4 | // Copyright (C) 2019-2022, LAAS-CNRS, University of Edinburgh, | ||
5 | // Heriot-Watt University | ||
6 | // Copyright note valid unless otherwise stated in individual files. | ||
7 | // All rights reserved. | ||
8 | /////////////////////////////////////////////////////////////////////////////// | ||
9 | |||
10 | #ifndef CROCODDYL_CORE_ACTUATION_BASE_HPP_ | ||
11 | #define CROCODDYL_CORE_ACTUATION_BASE_HPP_ | ||
12 | |||
13 | #include <boost/make_shared.hpp> | ||
14 | #include <boost/shared_ptr.hpp> | ||
15 | #include <stdexcept> | ||
16 | |||
17 | #include "crocoddyl/core/fwd.hpp" | ||
18 | #include "crocoddyl/core/mathbase.hpp" | ||
19 | #include "crocoddyl/core/state-base.hpp" | ||
20 | #include "crocoddyl/core/utils/exception.hpp" | ||
21 | |||
22 | namespace crocoddyl { | ||
23 | |||
24 | /** | ||
25 | * @brief Abstract class for the actuation-mapping model | ||
26 | * | ||
27 | * The generalized torques \f$\boldsymbol{\tau}\in\mathbb{R}^{nv}\f$ can by any | ||
28 | * nonlinear function of the joint-torque inputs | ||
29 | * \f$\mathbf{u}\in\mathbb{R}^{nu}\f$, and state point | ||
30 | * \f$\mathbf{x}\in\mathbb{R}^{nx}\f$, where `nv`, `nu`, and `ndx` are the | ||
31 | * number of joints, dimension of the joint torque input and state manifold, | ||
32 | * respectively. Additionally, the generalized torques are also named as the | ||
33 | * actuation signals of our system. | ||
34 | * | ||
35 | * The main computations are carried out in `calc()`, and `calcDiff()`, where | ||
36 | * the former computes actuation signal, and the latter computes the Jacobians | ||
37 | * of the actuation-mapping function, i.e., | ||
38 | * \f$\frac{\partial\boldsymbol{\tau}}{\partial\mathbf{x}}\f$ and | ||
39 | * \f$\frac{\partial\boldsymbol{\tau}}{\partial\mathbf{u}}\f$. Note that | ||
40 | * `calcDiff()` requires to run `calc()` first. | ||
41 | * | ||
42 | * \sa `calc()`, `calcDiff()`, `createData()` | ||
43 | */ | ||
44 | template <typename _Scalar> | ||
45 | class ActuationModelAbstractTpl { | ||
46 | public: | ||
47 | EIGEN_MAKE_ALIGNED_OPERATOR_NEW | ||
48 | |||
49 | typedef _Scalar Scalar; | ||
50 | typedef MathBaseTpl<Scalar> MathBase; | ||
51 | typedef StateAbstractTpl<Scalar> StateAbstract; | ||
52 | typedef ActuationDataAbstractTpl<Scalar> ActuationDataAbstract; | ||
53 | typedef typename MathBase::VectorXs VectorXs; | ||
54 | typedef typename MathBase::MatrixXs MatrixXs; | ||
55 | |||
56 | /** | ||
57 | * @brief Initialize the actuation model | ||
58 | * | ||
59 | * @param[in] state State description | ||
60 | * @param[in] nu Dimension of joint-torque input | ||
61 | */ | ||
62 | ActuationModelAbstractTpl(boost::shared_ptr<StateAbstract> state, | ||
63 | const std::size_t nu); | ||
64 | virtual ~ActuationModelAbstractTpl(); | ||
65 | |||
66 | /** | ||
67 | * @brief Compute the actuation signal from the state point | ||
68 | * \f$\mathbf{x}\in\mathbb{R}^{ndx}\f$ and joint torque inputs | ||
69 | * \f$\mathbf{u}\in\mathbb{R}^{nu}\f$ | ||
70 | * | ||
71 | * @param[in] data Actuation data | ||
72 | * @param[in] x State point \f$\mathbf{x}\in\mathbb{R}^{ndx}\f$ | ||
73 | * @param[in] u Joint-torque input \f$\mathbf{u}\in\mathbb{R}^{nu}\f$ | ||
74 | */ | ||
75 | virtual void calc(const boost::shared_ptr<ActuationDataAbstract>& data, | ||
76 | const Eigen::Ref<const VectorXs>& x, | ||
77 | const Eigen::Ref<const VectorXs>& u) = 0; | ||
78 | |||
79 | /** | ||
80 | * @brief Ignore the computation of the actuation signal | ||
81 | * | ||
82 | * It does not update the actuation signal as this function is used in the | ||
83 | * terminal nodes of an optimal control problem. | ||
84 | * | ||
85 | * @param[in] data Actuation data | ||
86 | * @param[in] x State point \f$\mathbf{x}\in\mathbb{R}^{ndx}\f$ | ||
87 | */ | ||
88 | void calc(const boost::shared_ptr<ActuationDataAbstract>& data, | ||
89 | const Eigen::Ref<const VectorXs>& x); | ||
90 | |||
91 | /** | ||
92 | * @brief Compute the Jacobians of the actuation function | ||
93 | * | ||
94 | * @param[in] data Actuation data | ||
95 | * @param[in] x State point \f$\mathbf{x}\in\mathbb{R}^{ndx}\f$ | ||
96 | * @param[in] u Joint-torque input \f$\mathbf{u}\in\mathbb{R}^{nu}\f$ | ||
97 | */ | ||
98 | virtual void calcDiff(const boost::shared_ptr<ActuationDataAbstract>& data, | ||
99 | const Eigen::Ref<const VectorXs>& x, | ||
100 | const Eigen::Ref<const VectorXs>& u) = 0; | ||
101 | |||
102 | /** | ||
103 | * @brief Ignore the computation of the Jacobians of the actuation function | ||
104 | * | ||
105 | * It does not update the Jacobians of the actuation function as this function | ||
106 | * is used in the terminal nodes of an optimal control problem. | ||
107 | * | ||
108 | * @param[in] data Actuation data | ||
109 | * @param[in] x State point \f$\mathbf{x}\in\mathbb{R}^{ndx}\f$ | ||
110 | */ | ||
111 | void calcDiff(const boost::shared_ptr<ActuationDataAbstract>& data, | ||
112 | const Eigen::Ref<const VectorXs>& x); | ||
113 | |||
114 | /** | ||
115 | * @brief Compute the joint torque input from the generalized torques | ||
116 | * | ||
117 | * It stores the results in `ActuationDataAbstractTpl::u`. | ||
118 | * | ||
119 | * @param[in] data Actuation data | ||
120 | * @param[in] x State point \f$\mathbf{x}\in\mathbb{R}^{ndx}\f$ | ||
121 | * @param[in] tau Generalized torques \f$\mathbf{u}\in\mathbb{R}^{nv}\f$ | ||
122 | */ | ||
123 | virtual void commands(const boost::shared_ptr<ActuationDataAbstract>& data, | ||
124 | const Eigen::Ref<const VectorXs>& x, | ||
125 | const Eigen::Ref<const VectorXs>& tau) = 0; | ||
126 | |||
127 | /** | ||
128 | * @brief Compute the torque transform from generalized torques to joint | ||
129 | * torque inputs | ||
130 | * | ||
131 | * It stores the results in `ActuationDataAbstractTpl::Mtau`. | ||
132 | * | ||
133 | * @param[in] data Actuation data | ||
134 | * @param[in] x State point \f$\mathbf{x}\in\mathbb{R}^{ndx}\f$ | ||
135 | * @param[in] tau Joint-torque inputs \f$\mathbf{u}\in\mathbb{R}^{nu}\f$ | ||
136 | */ | ||
137 | virtual void torqueTransform( | ||
138 | const boost::shared_ptr<ActuationDataAbstract>& data, | ||
139 | const Eigen::Ref<const VectorXs>& x, const Eigen::Ref<const VectorXs>& u); | ||
140 | /** | ||
141 | * @brief Create the actuation data | ||
142 | * | ||
143 | * @return the actuation data | ||
144 | */ | ||
145 | virtual boost::shared_ptr<ActuationDataAbstract> createData(); | ||
146 | |||
147 | /** | ||
148 | * @brief Return the dimension of the joint-torque input | ||
149 | */ | ||
150 | std::size_t get_nu() const; | ||
151 | |||
152 | /** | ||
153 | * @brief Return the state | ||
154 | */ | ||
155 | const boost::shared_ptr<StateAbstract>& get_state() const; | ||
156 | |||
157 | /** | ||
158 | * @brief Print information on the residual model | ||
159 | */ | ||
160 | template <class Scalar> | ||
161 | friend std::ostream& operator<<( | ||
162 | std::ostream& os, const ResidualModelAbstractTpl<Scalar>& model); | ||
163 | |||
164 | /** | ||
165 | * @brief Print relevant information of the residual model | ||
166 | * | ||
167 | * @param[out] os Output stream object | ||
168 | */ | ||
169 | virtual void print(std::ostream& os) const; | ||
170 | |||
171 | protected: | ||
172 | std::size_t nu_; //!< Dimension of joint torque inputs | ||
173 | boost::shared_ptr<StateAbstract> state_; //!< Model of the state | ||
174 | }; | ||
175 | |||
176 | template <typename _Scalar> | ||
177 | struct ActuationDataAbstractTpl { | ||
178 | EIGEN_MAKE_ALIGNED_OPERATOR_NEW | ||
179 | |||
180 | typedef _Scalar Scalar; | ||
181 | typedef MathBaseTpl<Scalar> MathBase; | ||
182 | typedef typename MathBase::VectorXs VectorXs; | ||
183 | typedef typename MathBase::MatrixXs MatrixXs; | ||
184 | |||
185 | template <template <typename Scalar> class Model> | ||
186 | 209494 | explicit ActuationDataAbstractTpl(Model<Scalar>* const model) | |
187 |
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209494 | : tau(model->get_state()->get_nv()), |
188 |
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209494 | u(model->get_nu()), |
189 |
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209494 | dtau_dx(model->get_state()->get_nv(), model->get_state()->get_ndx()), |
190 |
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209494 | dtau_du(model->get_state()->get_nv(), model->get_nu()), |
191 |
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209494 | Mtau(model->get_nu(), model->get_state()->get_nv()), |
192 |
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418988 | tau_set(model->get_state()->get_nv(), true) { |
193 |
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209494 | tau.setZero(); |
194 |
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209494 | u.setZero(); |
195 |
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209494 | dtau_dx.setZero(); |
196 |
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209494 | dtau_du.setZero(); |
197 |
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209494 | Mtau.setZero(); |
198 | 209494 | } | |
199 | 105697 | virtual ~ActuationDataAbstractTpl() {} | |
200 | |||
201 | VectorXs tau; //!< Generalized torques | ||
202 | VectorXs u; //!< Joint torques | ||
203 | MatrixXs dtau_dx; //!< Partial derivatives of the actuation model w.r.t. the | ||
204 | //!< state point | ||
205 | MatrixXs dtau_du; //!< Partial derivatives of the actuation model w.r.t. the | ||
206 | //!< joint torque input | ||
207 | MatrixXs Mtau; //!< Torque transform from generalized torques to joint torque | ||
208 | //!< inputs | ||
209 | std::vector<bool> tau_set; //!< True for joints that are actuacted | ||
210 | }; | ||
211 | |||
212 | } // namespace crocoddyl | ||
213 | |||
214 | /* --- Details -------------------------------------------------------------- */ | ||
215 | /* --- Details -------------------------------------------------------------- */ | ||
216 | /* --- Details -------------------------------------------------------------- */ | ||
217 | #include "crocoddyl/core/actuation-base.hxx" | ||
218 | |||
219 | #endif // CROCODDYL_CORE_ACTUATION_BASE_HPP_ | ||
220 |